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Harvard Art Museums MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Harvard Art Museums through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Harvard Art Museums Assistant",
            instructions=(
                "You help users interact with Harvard Art Museums. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Harvard Art Museums"
        )
        print(result.final_output)

asyncio.run(main())
Harvard Art Museums
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About Harvard Art Museums MCP Server

Empower your AI agent to orchestrate your entire art history research and collection auditing workflow with Harvard Art Museums, the authoritative source for global art metadata. By connecting the Harvard Art Museums API to your agent, you transform complex object searches into a natural conversation. Your agent can instantly search for art objects across various periods, audit artist portfolios, and retrieve detailed exhibition metadata without you ever touching a museum portal. Whether you are conducting academic research or scouting visual inspiration, your agent acts as a real-time art curator, ensuring your data is always grounded in official, museum-verified records.

The OpenAI Agents SDK auto-discovers all 6 tools from Harvard Art Museums through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Harvard Art Museums, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Object Auditing — Search for thousands of art objects by title or artist and retrieve detailed metadata, including periods and medium info.
  • Artist Oversight — Browse artist profiles and identify their contributions to the museum collection to maintain a clear view of their work.
  • Exhibition Discovery — Query upcoming and historical exhibitions to understand the thematic distribution of art displays instantly.
  • Visual Intelligence — Retrieve direct links to high-quality primary images for any museum object to maintain visual context.
  • Gallery Monitoring — List all galleries within the Harvard Art Museums to understand the organizational layout of the collections.

The Harvard Art Museums MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Harvard Art Museums to OpenAI Agents SDK via MCP

Follow these steps to integrate the Harvard Art Museums MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 6 tools from Harvard Art Museums

Why Use OpenAI Agents SDK with the Harvard Art Museums MCP Server

OpenAI Agents SDK provides unique advantages when paired with Harvard Art Museums through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Harvard Art Museums + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Harvard Art Museums MCP Server delivers measurable value.

01

Automated workflows: build agents that query Harvard Art Museums, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Harvard Art Museums, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Harvard Art Museums tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Harvard Art Museums to resolve tickets, look up records, and update statuses without human intervention

Harvard Art Museums MCP Tools for OpenAI Agents SDK (6)

These 6 tools become available when you connect Harvard Art Museums to OpenAI Agents SDK via MCP:

01

check_api_status

Check if the Harvard Art Museums API is operational

02

get_object_details

Get full details for a specific art object by ID

03

list_museum_galleries

List all galleries within the Harvard Art Museums

04

search_exhibitions

Search for exhibitions hosted by the Harvard Art Museums

05

search_museum_objects

Search for art objects in the Harvard Art Museums collection

06

search_museum_people

Search for artists and people related to the museum collection

Example Prompts for Harvard Art Museums in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Harvard Art Museums immediately.

01

"Search for art objects by 'Vincent van Gogh' in Harvard Art Museums."

02

"Show details for exhibition with name 'Modernism'."

03

"List all galleries in the museum."

Troubleshooting Harvard Art Museums MCP Server with OpenAI Agents SDK

Common issues when connecting Harvard Art Museums to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Harvard Art Museums + OpenAI Agents SDK FAQ

Common questions about integrating Harvard Art Museums MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Harvard Art Museums to OpenAI Agents SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.